- Create presentation
- Create plots for presentation
- Try to find reason that causes random exploration to perform better than random sampling shooting
- use random exploration to sample data points for the one-step predicitive accuracy evaluation
instead of just randomly sampling states from the observation space and actions from the action space
(temporarily hard coded fix in
one_step_pred_accuracy.pyspecifically for spring-mass-damper system and short horizon) - implement reacher environment from paper, visualize the state space exploration and compare results with those from the paper
- use random exploration to sample data points for the one-step predicitive accuracy evaluation
instead of just randomly sampling states from the observation space and actions from the action space
(temporarily hard coded fix in
- Set up server to run random sampling shooting + MPC
- Introduction to our topic/Introduction to the problem we are trying to solve
- Presentation of active learning and random sampling shooting via flow chart
- Experiments we have conducted so far including plots
- Learning curves including train and test error
- Active Learning evaluation
- Plot for exploration efficiency
